Generative AI

HRDC Reg. No: To Be Announced

Duration: 10 Days (70 Hours)

Course Overview

This comprehensive 10-day (70 hours) hands-on training covers Generative AI concepts, tools, and applications. Participants will gain expertise in neural networks, prompt engineering, LangChain, vector stores, AI agents, and model deployment using LangGraph, Crew AI, AutoGen, and OpenAI Assistant. The course includes practical labs to reinforce real-world AI implementation skills.

Who Should Attend?

This course is ideal for professionals looking to leverage Generative AI in their domain:

• Software Engineers – AI application development
• Data Scientists – Generative AI model training & optimization
• Machine Learning Engineers – LLM integration into applications
• AI Researchers – Exploring advanced AI agentic frameworks
• Solution Architects – Building AI-driven applications
• Product Managers – Understanding AI capabilities for product innovation
• Tech Leads & CTOs – Evaluating AI solutions for enterprise deployment

Why Choose This Course?

✔ HRDC-Claimable Training 
✔ Industry-Relevant Content – Covers the latest Generative AI advancements
✔ Hands-on Labs – Practical coding experience
✔ Expert-Led Sessions – Learn from industry experts

Learning Outcomes

By the end of this course, participants will:

• Develop & deploy AI applications
• Understand neural networks, embeddings & vector stores
• Apply prompt engineering techniques
• Build LLM-powered AI solutions with LangChain, AutoGen & OpenAI Assistant
• Deploy multi-agent AI workflows
• Implement retrieval-augmented generation (RAG)
• Utilize Azure OpenAI for enterprise AI

Prerequisites

• Basic knowledge of Python
• Familiarity with machine learning concepts is helpful but not required

Lab Setup

Participants will require:
Python environment (Anaconda, Jupyter Notebook, or VS Code)
OpenAI API access
Streamlit/Gradio for chatbot development
LangChain, Crew AI, and AutoGen libraries installed

Teaching Methodology

Instructor-led Sessions – Real-world case studies
Hands-on Labs – Practical coding with OpenAI, LangChain, AutoGen, LlamaIndex
Live Coding & Demos – AI application development
Project-Based Learning – AI product building
Q&A & Industry Discussions

Generative AI

HRDC Registration Number: 10001463036

Duration: 21 Hours (3 Days)

Course Overview

This interactive workshop introduces Generative AI (Gen AI) to both IT and non-IT teams, equipping them with practical skills to integrate AI technologies into their roles. The program covers AI fundamentals, LLMs like ChatGPT, and advanced applications such as image, video, and content generation. Participants will explore workplace productivity enhancements, automation, and ethical considerations while gaining hands-on experience to drive innovation and efficiency.

Who Should Attend

Industries:

• Information Technology
• Financial Services
• Healthcare
• Retail and E-commerce
• Manufacturing
• Media and Entertainment
• Education

Participants:

• IT Managers
• Software Engineers
• Data Scientists
• Project Managers
• Marketing Professionals
• Business Analysts
• Operations Managers

Why Choose This Course

This HRDC-claimable course (Reg. No: 10001463036) empowers IT and non-IT professionals to leverage Generative AI for productivity, creativity, and innovation, providing actionable insights and practical experience.

Learning Outcomes

Participants will:

• Understand AI fundamentals, including LLMs like ChatGPT and their applications.
• Leverage Gen AI for workplace productivity and automation.
• Master AI tools for content, image, and video generation.
• Explore ethical considerations and data security in AI applications.
• Implement Gen AI solutions to innovate and enhance organizational efficiency.

Prerequisites

• Basic understanding of computer operations.
• Familiarity with web-based applications.
• No prior AI or Machine Learning knowledge required.

Lab Setup

• Hardware: 64-bit CPU PC with 8GB RAM, 20GB free disk space.
• Software:
  • Google Gemini, ChatGPT (paid subscription optional), Google Colab.

Teaching Methodology

• Hands-on workshops.
• Demos and real-world case studies.
• Lectures and group discussions.

Generative AI

HRDC Registration Number: 10001464294

Duration: 21 Hours (3 Days)

Course Overview

This hands-on workshop provides an in-depth exploration of Generative AI and Large Language Models (LLMs). Participants will learn foundational concepts, advanced techniques like Retrieval-Augmented Generation (RAG), and practical skills to customize, fine-tune, and deploy LLMs for real-world applications, delivering tangible business outcomes.

Who Should Attend

Industries:

• Information Technology
• Software Development
• Financial Services
• Healthcare
• E-commerce
• Telecommunications

Participants:

• Software Developers
• Engineers
• Technical Architects
• Solution Architects
• IT Professionals with programming experience

Why Choose This Course

This HRDC-claimable course (Reg. No: 10001464294) equips participants with advanced LLM knowledge and practical skills to design, deploy, and optimize AI-driven applications, addressing ethical considerations and data security.

Learning Outcomes

Participants will:

• Understand the architecture and training mechanisms of LLMs.
• Master prompt engineering for effective AI communication.
• Build, fine-tune, and deploy LLMs for custom applications.
• Implement advanced techniques like RAG for optimized AI outputs.
• Address ethical considerations, data security, and bias in AI applications.
• Apply LLMs in content creation, automation, and data analysis.

Prerequisites

• Knowledge of software programming (Python preferred).
• Familiarity with command-line tools on Windows, Mac, or Linux.
• Understanding of JSON and YAML for configuration.

Lab Setup

• Hardware: 64-bit CPU PC, 16GB RAM, 50GB free disk space.
• Software:
  • Windows 11, Visual Studio Code, Node.js v20 LTS, Docker Desktop.
  • Python v3.11, Jupyter Notebook, Postman.

Teaching Methodology

• Presentations and discussions for conceptual clarity.
• Hands-on labs for over 90% of the workshop duration.
• Interactive Q&A sessions and group exercises.
• Practical demos and real-world examples.

Generative AI

HRDC Registration Number: 10001466096
Duration: 21 Hours (3 Days)

Course Overview

This course explores the fundamentals and advanced applications of Generative AI and Prompt Engineering. Participants will learn to build and fine-tune generative models like GPT and DALL-E, optimize AI outputs through prompt engineering, and address ethical considerations. The program combines theoretical insights with hands-on projects to create and manipulate AI-generated content for diverse industries.

Who Should Attend

Industries:

• Technology and Software Development
• Marketing and Advertising
• Media and Entertainment
• Healthcare
• Finance

Participants:

• Data Scientists
• Machine Learning Engineers
• AI Researchers
• Software Developers
• Professionals in content creation, marketing, and design

Why Choose This Course

This HRDC-claimable course (Reg. No: 10001466096) offers hands-on learning to effectively utilize Generative AI tools for innovation across industries, while addressing ethical concerns for responsible AI implementation.

Learning Outcomes

Participants will:

• Understand the key concepts and technologies behind Generative AI.
• Build and fine-tune generative models using frameworks like GPT and DALL-E.
• Master prompt engineering techniques to optimize AI performance.
• Explore real-world use cases in industries like marketing, healthcare, and design.
• Analyze the ethical implications and limitations of generative models.
• Develop a complete AI application through a hands-on project.

Prerequisites

• Basic understanding of machine learning concepts.
• Familiarity with Python programming.
• Knowledge of neural networks and deep learning frameworks.

Lab Setup

• High-performance computing resources or cloud platforms (AWS, Google Cloud, Azure).
• Installation of PyTorch, TensorFlow, OpenAI GPT models.
• Jupyter Notebook environment for interactive coding.

Teaching Methodology

• Lectures and presentations for foundational learning.
• Hands-on labs and coding exercises.
• Real-world case studies and group discussions.
• Project-based learning for practical application.

Generative AI

HRDC Registration Number: 10001461875
Duration: 14 Hours (2 Days)

Course Overview

This advanced course focuses on creating and managing intelligent systems using Crew AI and AutoGen. Participants will master planning and building multi-agent applications, fostering collaboration, and implementing Retrieval-Augmented Generation (RAG). The program culminates in developing sophisticated chatbots and multi-agent systems for complex scenarios.

Who Should Attend

Industries:

• Technology
• Finance
• Healthcare
• Retail
• Education

Participants:

• Data Scientists
• AI Developers
• Machine Learning Engineers
• Software Engineers
• IT Professionals

Why Choose This Course

This HRDC-claimable course (Reg. No: 10001461875) provides hands-on expertise in using Crew AI and AutoGen, enabling participants to create scalable and interactive AI-driven systems tailored to industry needs.

Learning Outcomes

Participants will:

• Develop and manage AI agents using Crew AI.
• Plan and build multi-agent applications with collaborative features.
• Create specialized agents for specific tasks like stock analysis and code interpretation.
• Design convertible agents with defined roles and interactions using AutoGen.
• Implement human-in-the-loop systems and utilize code execution tools.
• Build sophisticated chatbots and implement RAG techniques with AutoGen.

Prerequisites

• Basic Python programming knowledge.

Lab Setup

• Computers with Python installed.
• Access to Crew AI and AutoGen platforms.
• Tools for developing agents, human-in-the-loop systems, and code execution.

Teaching Methodology

• Interactive lectures and theoretical insights.
• Hands-on labs for practical application.
• Real-world case studies and group discussions.
• Focused sessions on multi-agent system development.

Generative AI

HRDC Registration Number: 10001464067
Duration: 14 Hours (2 Days)

Course Overview

This course dives into advanced tools and frameworks for Generative AI, including LangServe, LangGraph, and Llama Index. Participants will gain practical skills to expose LangChain runnables as APIs, build agents, and implement advanced indexing and querying systems. The course culminates in creating interactive AI applications with Retrieval-Augmented Generation (RAG) and human feedback loops.

Who Should Attend

Industries:

• Technology
• Finance
• Healthcare
• Retail
• Education

Participants:

• Data Scientists
• AI Developers
• Machine Learning Engineers
• Software Engineers
• IT Professionals

Why Choose This Course

This HRDC-claimable course (Reg. No: 10001464067) provides hands-on training with cutting-edge tools, equipping participants to design, deploy, and optimize robust AI-driven systems for real-world applications.

Learning Outcomes

Participants will:

• Use LangServe to expose LangChain runnables as APIs.
• Build and manage sophisticated agents with LangGraph.
• Implement Retrieval-Augmented Generation (RAG) systems using LangGraph and Llama Index.
• Leverage Llama Index for advanced indexing and querying.
• Create chatbots and interactive applications with human feedback loops.
• Optimize AI-driven systems for scalability and efficiency.

Prerequisites

• Basic Python programming knowledge.

Lab Setup

• Computers with Python installed.
• Access to LangServe, LangGraph, and Llama Index.
• API access for LangChain runnables and tools for agent management.

Teaching Methodology

• Interactive lectures and theoretical insights.
• Hands-on labs for practical application.
• Case studies and group discussions.
• Real-world scenario exercises with advanced AI tools.

Generative AI

HRDC Registration Number: 10001462889
Duration: 21 Hours (3 Days)

Course Overview

This dynamic three-day course offers a practical understanding of Generative AI and advanced implementation techniques. With a strong focus on hands-on learning, participants will gain expertise in using OpenAI and LangChain, mastering prompt engineering, embeddings, and AI-enabled app development.

Who Should Attend

Industries:

• Technology and Software Development
• Data Science and Analytics
• Content Creation
• Business and Project Management

Participants:

• Business Leaders
• Project Managers
• Data Scientists
• Software Developers
• Content Creators
• Individuals exploring AI for workplace innovation and task automation

Why Choose This Course

This HRDC-claimable course (Reg. No: 10001462889) provides practical insights into utilizing Generative AI to automate tasks, foster innovation, and build advanced AI-driven applications.

Learning Outcomes

Participants will:

• Understand the fundamentals and applications of Generative AI.
• Master prompt engineering to craft effective AI instructions.
• Explore real-world Generative AI implementations across various industries.
• Automate tasks, generate content, and optimize decision-making using AI tools.
• Build AI-enabled applications with LangChain, RAG, and advanced integrations.

Prerequisites

• Basic Python programming knowledge.

Lab Setup

• Access to OpenAI API, LangChain environment, ChromaDB, Pinecone, LangSmith, and LangGraph.

Teaching Methodology

• Interactive lectures and presentations.
• Hands-on labs and practical exercises.
• Real-world case studies and group discussions.
• Project-based learning for AI app development.

Generative AI

HRDC Registration Number: 10001464068
Duration: 35 Hours (5 Days)

Course Overview

This comprehensive 5-day program provides a practical introduction to Generative AI through OpenAI, HuggingFace, and LangChain. The course covers foundational concepts in AI and neural networks, advanced topics in prompt engineering, transformer models, and hands-on development of AI-driven applications. Participants will explore Retrieval-Augmented Generation (RAG), memory management, and observability techniques to optimize real-world AI applications.

Who Should Attend

Industries:

• Technology
• Finance
• Healthcare
• Retail
• Education

Participants:

• Data Scientists
• AI Developers
• Machine Learning Engineers
• Software Engineers
• IT Professionals

Why Choose This Course

This HRDC-claimable course (Reg. No: 10001464068) equips participants with hands-on experience and in-depth knowledge of leading AI frameworks to create, optimize, and manage Generative AI applications in professional environments.

Learning Outcomes

Participants will:

• Train and optimize machine learning models using Keras and TensorFlow.
• Utilize OpenAI's ChatGPT for diverse AI tasks.
• Apply advanced prompt engineering techniques.
• Implement transformer models using the HuggingFace library.
• Build and manage AI applications with LangChain, embedding, and RAG systems.
• Configure tools and agents for AI workflows and implement observability techniques.

Prerequisites

• Basic knowledge of Python programming.

Lab Setup

• Software: Python, OpenAI API access, HuggingFace Transformers library, LangChain.
• Tools: ChromaDB, Pinecone, LangSmith, LangGraph, and related libraries.

Teaching Methodology

• Interactive lectures with theoretical insights.
• Hands-on labs for practical applications.
• Real-world case studies and group exercises.
• Practical development and optimization sessions.

Generative AI

HRDC Registration Number: 10001462140
Duration: 21 Hours (3 Days)

Course Overview

This hands-on course takes participants on a journey from foundational AI concepts to advanced applications of Generative AI. Covering Large Language Models (LLMs) like ChatGPT, prompt engineering, and the LangChain framework, the course equips learners to create AI-powered solutions with real-world utility. Participants will engage in practical labs involving embeddings, RAG techniques, and AI-driven workflows using tools like ChromaDB and Pinecone.

Who Should Attend

Industries:

• Technology
• Finance
• Healthcare
• Education
• Retail

Participants:

• Data Scientists
• Machine Learning Engineers
• AI Developers
• Software Engineers
• IT Professionals

Why Choose This Course

This HRDC-claimable course (Reg. No: 10001462140) delivers cutting-edge knowledge and hands-on skills for utilizing Generative AI in innovative ways, from AI-driven workflows to advanced tools like LangChain.

Learning Outcomes

Participants will:

• Understand foundational AI concepts, including Generative AI and neural networks.
• Develop proficiency in prompt engineering for effective AI interactions.
• Learn to use LangChain for managing AI-enabled applications.
• Implement embeddings, vector stores, and RAG techniques.
• Configure and integrate AI tools and agents for real-world use cases.
• Build practical AI applications through comprehensive hands-on labs.

Prerequisites

• Basic Python programming skills.

Lab Setup

• Software: Python, LangChain, OpenAI API access, ChromaDB, Pinecone.
• Tools: Database integration and web-search capabilities.

Teaching Methodology

• Interactive lectures with theoretical underpinnings.
• Hands-on labs to solidify practical applications.
• Case studies and real-world examples.
• Group discussions and collaborative problem-solving.

Generative AI

HRDC Registration Number: 10001464088
Duration: 21 Hours (3 Days)

Course Overview

This immersive 3-day workshop empowers software developers, architects, and IT professionals with Generative AI (Gen AI) and Large Language Models (LLMs) to optimize the entire SDLC. Through hands-on activities, participants will learn AI-driven techniques for requirements analysis, code generation, testing, and technical debt management, achieving significant productivity gains and improved software quality.

Who Should Attend

Industries:

• Information Technology
• Software Development
• Financial Services
• Healthcare
• E-commerce
• Telecommunications

Participants:

• Software Developers
• Solution Architects
• Technical Architects
• IT Professionals

Why Choose This Course

This HRDC-claimable course (Reg. No: 10001464088) offers a practical, hands-on approach to leveraging Generative AI in software development, equipping participants to address modern challenges and streamline SDLC processes securely and efficiently.

Learning Outcomes

Participants will:

• Understand AI fundamentals, including Machine Learning, Deep Learning, and Gen AI.
• Apply AI to software requirements analysis, code generation, and workflow automation.
• Detect and fix bugs, and automate comprehensive testing scenarios with AI tools.
• Deploy private LLM models to enhance security and streamline SDLC processes.
• Manage technical debt and modernize legacy code efficiently with AI assistance.

Prerequisites

• Proficiency in one programming language.
• Basic knowledge of Python and JavaScript.
• Familiarity with JSON, YAML, and command-line tools on Windows, Mac, or Linux.

Lab Setup

• Hardware: 64-bit CPU PC, 16GB RAM, 50GB free disk space.
• Software:
  • Windows 11
  • Visual Studio Code, Node.js v20 LTS, Docker Desktop, Python v3.11
  • Jupyter Notebook, Postman, GitHub Desktop
  • GitHub Copilot and Codeium extensions

Teaching Methodology

• Hands-on workshops
• Interactive demos
• Group activities
• Case studies

Generative AI

HRDC Registration Number: 10001463774
Duration: 21 Hours (3 Days)

Course Overview

This intensive training program enables participants to integrate Generative AI across the entire software testing lifecycle. It provides hands-on experience with LLM models and RAG techniques, empowering participants to enhance productivity and accuracy in testing workflows. The course includes tools like ChatGPT, GitHub Copilot, and Codeium for practical implementations.

Who Should Attend

Professionals across the following industries and roles are encouraged to attend:

Industries:

• Information Technology
• Software Development
• Financial Services
• Healthcare
• E-commerce
• Telecommunications

Participants:

• Software Developers
• Software Test Engineers
• Technical Architects
• Test Managers
• IT Professionals

Why Choose This Course

This HRDC-claimable course (Reg. No: 10001463774) provides a hands-on, 90% practical approach to mastering Generative AI in software testing, ensuring participants gain actionable skills to transform their testing processes.

Learning Outcomes

Participants will:

• Understand foundational concepts of AI, Machine Learning, and Generative AI.
• Apply prompt engineering techniques to AI-driven testing.
• Generate and optimize test cases, test data, and automation scripts using Generative AI.
• Implement custom GPTs and private LLM models for specialized testing workflows.
• Address critical concerns in data security, IP protection, and AI bias in testing processes.

Prerequisites

• Knowledge of software testing techniques.
• Proficiency with command prompt/terminal on Windows, Mac, or Linux.

Lab Setup

• Hardware: 64-bit CPU PC with at least 8GB RAM, 20GB free disk space.
• Software:
  • Windows 10/MacOS Sierra or higher.
  • Visual Studio Code with GitHub Copilot extension.
  • Node.js v20 LTS, Git, Docker Desktop, and GitHub Desktop.
  • Codeium installation.

Teaching Methodology

• Hands-on workshops.
• Interactive demonstrations.
• Group activities.
• Case studies.